An Arts-Based Praxis Process of Building Towards a Relational Model of Curriculum Oriented Towards
Bibliographic record
Abstract
A PhD student shares part of her arts-based praxis process of developing a relational model of curriculum oriented towards reconciliation in Canada and South Africa by reflecting on a pilot course she offered at a university in Canada in 2018. This site-specific, media arts-based environmental education is intended for universities committed to walking the talk of decolonising education. Centered around water as a mirror of the state of our social relations and democracy, which it seeks to transform, the curriculum also facilitates public education and dialogue around the importance of healthy waterways amidst the pressures of climate change. Using a set of questions as a data analysis tool combined with narrative analysis of students’ videos, the researcher outlines the three most prominent relational sensibilities and abilities towards reconciliation cultivated by students through the program: (1) Knowledge Ecologies; (2) A Hopeful Social Imaginary; and (3) Embodied Ways of Knowing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".